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A pattern recognition system for handoff algorithms

机译:用于切换算法的模式识别系统

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摘要

In wireless cellular systems, handoff algorithms decide when and to which base station to handoff. Traditional handoff algorithms generally cannot keep both the average number of unnecessary handoffs and the handoff decision delay low. They do not exploit the relative constancy of path loss and shadow fading effects at any given location around a base station. This information can in fact be used to improve the efficiency of handoff algorithms, as we do in our new handoff algorithms using statistical pattern recognition. Handoff algorithms with both a negligible number of unnecessary handoffs and a negligible decision delay can therefore be realized.
机译:在无线蜂窝系统中,切换算法决定何时以及向哪个基站切换。传统的越区切换算法通常既不能使平均不必要的越区切换数量又不能使越区切换决策延迟保持在较低水平。他们没有利用基站周围任何给定位置的路径损耗和阴影衰落效应的相对恒定性。正如我们在使用统计模式识别的新切换算法中所做的那样,该信息实际上可用于提高切换算法的效率。因此,可以实现具有可忽略数量的不必要越区切换和可忽略的判决延迟的越区切换算法。

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